slam: Sparse Lightweight Arrays and Matrices

Data structures and algorithms for sparse arrays and matrices, based on index arrays and simple triplet representations, respectively.

AuthorKurt Hornik [aut, cre], David Meyer [aut], Christian Buchta [aut]
Date of publication2016-12-01 16:51:19
MaintainerKurt Hornik <Kurt.Hornik@R-project.org>
LicenseGPL-2
Version0.1-40

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Files in this package

slam
slam/tests
slam/tests/extract.Rout.save
slam/tests/stm.R
slam/tests/stm_subassign.Rout.save
slam/tests/apply.Rout.save
slam/tests/stm_rollup.R
slam/tests/abind.Rout.save
slam/tests/stm_zeros.Rout.save
slam/tests/matrix_dimnames.R
slam/tests/ssa_valid.Rout.save
slam/tests/subassign.Rout.save
slam/tests/stm_ttcrossprod.Rout.save
slam/tests/stm_apply.Rout.save
slam/tests/dimgets.R
slam/tests/stm.Rout.save
slam/tests/util.Rout.save
slam/tests/stm_subassign.R
slam/tests/subassign.R
slam/tests/apply.R
slam/tests/matrix_dimnames.Rout.save
slam/tests/stm_valid.R
slam/tests/crossprod.Rout.save
slam/tests/ssa_valid.R
slam/tests/split.R
slam/tests/crossprod.R
slam/tests/stm_valid.Rout.save
slam/tests/rollup.Rout.save
slam/tests/extract.R
slam/tests/util.R
slam/tests/abind.R
slam/tests/stm_ttcrossprod.R
slam/tests/matrix.Rout.save
slam/tests/stm_rollup.Rout.save
slam/tests/stm_apply.R
slam/tests/split.Rout.save
slam/tests/stm_zeros.R
slam/tests/rollup.R
slam/tests/matrix.R
slam/src
slam/src/Makevars
slam/src/util.c
slam/src/apply.c
slam/src/grouped.c
slam/src/sparse.c
slam/NAMESPACE
slam/R
slam/R/stm.R slam/R/reduce.R slam/R/foreign.R slam/R/subassign.R slam/R/apply.R slam/R/array.R slam/R/crossprod.R slam/R/abind.R slam/R/misc.R slam/R/rollup.R slam/R/matrix.R
slam/MD5
slam/DESCRIPTION
slam/man
slam/man/foreign.Rd slam/man/matrix.Rd slam/man/norms.Rd slam/man/options.Rd slam/man/array.Rd slam/man/abind.Rd slam/man/apply.Rd slam/man/sums.Rd slam/man/crossprod.Rd slam/man/rollup.Rd

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